Principles and Practice of Parallel Programming

PPoPP

CORE rank

CORE rank (raw)

Fields of research

Distributed Computing and Systems Software

Papers indexed

1,441

1988–2026

Best Systems and Networking conferences

Papers per year

198886 peak2026

Most published authors

PPoPP papers

1,441 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2021	Efficiently running SpMV on long vector architectures.	Constantino Gmez, Filippo Mantovani, Erich Focht, Marc Casas
2021	On group mutual exclusion for dynamic systems.	Shreyas Gokhale, Sahil Dhoked, Neeraj Mittal
2021	EGEMM-TC: accelerating scientific computing on tensor cores with extended precision.	Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding
2021	DAPPLE: a pipelined data parallel approach for training large models.	Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2021	TurboTransformers: an efficient GPU serving system for transformer models.	Jiarui Fang, Yang Yu, Chengduo Zhao, Jie Zhou
2021	Asynchrony versus bulk-synchrony for a generalized N-body problem from genomics.	Marquita Ellis, Aydin Bulu, Katherine A. Yelick
2021	FFT blitz: the tensor cores strike back.	Sultan Durrani, Muhammad Saad Chughtai, Abdul Dakkak, Wen-Mei Hwu, Lawrence Rauchwerger
2021	Verifying C11-style weak memory libraries.	Sadegh Dalvandi, Brijesh Dongol
2021	OrcGC: automatic lock-free memory reclamation.	Andreia Correia, Pedro Ramalhete, Pascal Felber
2021	Extracting clean performance models from tainted programs.	Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler
2021	Extending MapReduce framework with locality keys.	Yifeng Chen, Bei Wang, Xiaolin Wang
2021	Corder: cache-aware reordering for optimizing graph analytics.	YuAng Chen, Yeh-Ching Chung
2021	A New Generation of Task-Parallel Algorithms for Matrix Inversion in Many-Threaded CPUs.	Sandra Cataln, Francisco D. Igual, Rafael Rodrguez-Snchez, Jos R. Herrero, Enrique S. Quintana-Ort
2021	Synthesizing optimal collective algorithms.	Zixian Cai, Zhengyang Liu, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
2021	Scaling implicit parallelism via dynamic control replication.	Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen M. Shipman, Patrick S. McCormick, Michael Garland, Alex Aiken
2021	Advanced synchronization techniques for task-based runtime systems.	David lvarez, Kevin Sala, Marcos Maroas, Aleix Roca, Vicen Beltran
2021	GPTune: multitask learning for autotuning exascale applications.	Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li
2021	Simplifying low-level GPU programming with GAS.	Da Yan, Wei Wang, Xiaowen Chu
2021	An ownership policy and deadlock detector for promises.	Caleb Voss, Vivek Sarkar
2020	A tool for top-down performance analysis of GPU-accelerated applications.	Keren Zhou, Mark Krentel, John M. Mellor-Crummey
2020	Optimizing batched Winograd convolution on GPUs.	Da Yan, Wei Wang, Xiaowen Chu
2020	Parallel determinacy race detection for futures.	Yifan Xu, Kyle Singer, I-Ting Angelina Lee
2020	Scaling out speculative execution of finite-state machines with parallel merge.	Yang Xia, Peng Jiang, Gagan Agrawal
2020	Using sample-based time series data for automated diagnosis of scalability losses in parallel programs.	Lai Wei, John M. Mellor-Crummey
2020	ELDA: LDA made efficient via algorithm-system codesign submission.	Shilong Wang, Da Li, Hengyong Yu, Hang Liu

301–325 of 1,441← Previous Next →

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